Promoting Gender Equality in the AI-Driven World of Work
Promoting Gender Equality in the AI-Driven World of Work
13–15 October 2026
The course is available in English
Introduction to the course
Artificial intelligence is already reshaping how work is organised, managed, and experienced. From recruitment and performance evaluation to scheduling, customer service, and platform work, AI systems are increasingly embedded in everyday workplace decisions. The future of work is unfolding now-often faster than institutions, policies, and skills systems can adapt. While AI can improve productivity, job quality, and access to opportunities, it also carries significant risks. Algorithms are not neutral: without safeguards, they can reflect existing power structures and reinforce gender inequalities. This three-day knowledge-sharing forum examines AI as both an opportunity and a risk for gender equality in the world of work, bringing research, lived experience, and policy debates together to ask a critical question: what can AI deliver, for whom, and under what conditions?
Who attends this course?
This forum brings together professionals involved in shaping, governing, researching, or applying AI and digital technologies, including experts in gender equality, DEI, and human rights; policymakers and regulators; AI, data, and digital practitioners; HR and people-management professionals; researchers and academics; representatives of workers' and employers' organisations; public sector, UN, and civil society actors; and entrepreneurs engaged in AI-enabled innovation.
What will I learn?
Participants will explore how AI is reshaping work, power, and opportunity through a gender lens, and identify pathways toward more inclusive and equitable AI-driven futures.
Day 1 — AI, Gender and the Changing World of Work
Topic 1: AI and Gender Equality in the World of Work: Where Are We Now?
Explore how Generative AI is transforming jobs and tasks, and why these changes are not gender-neutral. Drawing on the latest ILO evidence, the session will examine how occupational segregation shapes women’s exposure to AI and discuss the conditions under which technological change can contribute to greater equality and better jobs.
Topic 2: Who Builds AI? Gender, Skills and the Future AI Workforce
Examine persistent gender gaps in digital and AI-related skills, occupations and leadership, and why women’s participation in the development of AI matters. The session will explore barriers across education and employment and highlight policies and initiatives that can strengthen women’s participation in STEM and the AI workforce.
Day 2 — Bias, Invisible Labour and Gender-Based Risks
Topic 3: Algorithmic Management, Bias and Discrimination in the World of Work
Examine how algorithms are increasingly used to recruit, manage, evaluate and monitor workers, and how these systems can reproduce or amplify existing inequalities. Through practical examples, explore approaches to identifying discriminatory risks and strengthening transparency, accountability and human oversight.
Topic 4: The Hidden Human Cost of AI: Digital Labour, Content Moderation and Gender-Based Violence
Go behind the technologies to explore the often-invisible human labour that makes AI possible, including data annotation and content moderation. The session will examine working conditions, exposure to harmful content, online harassment and gender-based violence, and consider how workers’ rights and wellbeing can be better protected.
Day 3 — Governing AI and Building Inclusive Digital Futures
Topic 5: Governing AI and Platform Work: Emerging Labour Standards and Policy Responses
Explore emerging regulatory and policy responses to AI and digitally mediated work, with particular attention to platform work and workers’ rights. The session will consider how labour institutions, social dialogue and international labour standards can help shape technological change towards decent work and gender equality.
Topic 6: Building Inclusive AI Ecosystems: Partnerships for Gender Equality
Move from challenges to solutions by exploring initiatives and experiences from Africa, Asia and other regions. Participants will examine the complementary roles of governments, employers’ and workers’ organizations, civil society and other actors, and identify practical actions and partnerships for building more inclusive and gender-responsive AI ecosystems.
Why join?
- Deepen understanding of how AI intersects with gender equality in the world of work
- Learn to identify gendered risks and opportunities in AI-driven systems
- Engage with cutting-edge research, policy debates, and real-world experiences
- Exchange perspectives with experts and practitioners across regions and sectors
- Strengthen capacity to contribute to responsible, inclusive, and ethical AI governance
Funding
A limited number of partial fellowships are available for worthy candidates from countries ODA receiving countries (Official Development Assistance). Consult the updated recipients’ list here.
If you are applying for funding, please specify so in your application form.
